Field Solutions Architect, Google Cloud - Shenzhen at Google

Shenzhen, Guangdong Province, China -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Platforms, Advanced Analytics, Automation Solutions, Python, Integrated Systems, Real-Time Inference, Model Quantization, Low-Latency Communication, Android OS Development, Discovery Interviews, APIs, Data Silos, Security Perimeters, Evaluation Pipelines, Observability Frameworks, Development Best Practices

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * Bachelor’s degree in Science, Technology, Engineering, and Math (STEM) field or equivalent practical experience. * Experience architecting advanced analytics systems on cloud platforms (e.g., Google Cloud Platform (GCP)). * Experience developing automation solutions utilizing foundation models, first-party model tuning, and advanced analytics architectures. * 6 years of experience shipping production grade data-driven solutions to external or internal customers with L400-level in Python. PREFERRED QUALIFICATIONS: * Master’s degree or PhD in Computer Science, or a related technical field. * Experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource constrained environments. * Experience in low-latency communication protocols (e.g., gRPC and MQTT), for device-to-cloud data orchestration. * Proficiency in Android OS development to integrate advanced analytics models directly into mobile frameworks. * Ability to perform discovery interviews to find the true business problem and translate complex hardware/advanced analytics constraints for deep-technical teams. ABOUT THE JOB: The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Field Solution Architect at Google Cloud, you are an embedded builder who bridges the gap between frontier advanced analytics products and production-grade reality within customers. Unlike traditional advisory roles, you function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. You will address blocker to production including solving the integration complexities, data readiness issues, and state-management tests that prevent advanced analytics from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose providing white glove deployment of complex advanced analytics systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. RESPONSIBILITIES: * Serve as the lead developer for complex advanced analytics applications, transitioning from prototypes to production grade agentic workflows that drive measurable Return on Investment (ROI). * Architect and code the connective tissue between Google’s advanced analytics products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. * Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. * Identify repeatable field patterns and technical friction points in Google’s advanced analytics stack, converting them into reusable modules or formal product feature requests for the Engineering teams. * Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Responsibilities

Serve as the lead developer for complex advanced analytics applications, transitioning from prototypes to production-grade workflows. Architect and code the connective tissue between Google’s advanced analytics products and customer's live infrastructure.